Study on the spatial distribution of ureolytic microorganisms in farmland soil around tailings with different heavy metal pollution

被引:69
|
作者
Hu, Xuesong [1 ]
Liu, Xiaoxia [2 ]
Qiao, Longkai [1 ]
Zhang, Shuo [1 ]
Su, Kaiwen [1 ]
Qiu, Ziliang [1 ]
Li, Xianhong [1 ]
Zhao, Qiancheng [1 ]
Yu, Caihong [1 ]
机构
[1] China Univ Min & Technol Beijing, Sch Chem & Environm Engn, Beijing 100083, Peoples R China
[2] MOA, Beijing Stn Agroenvironm Monitoring, Test & Supervis Ctr Agroenvironm Qual, Beijing 100032, Peoples R China
基金
中国国家自然科学基金;
关键词
Ureolytic microbial community; ureC gene; Metagenome; Horizontal and vertical; Farmland soil; PARTICLE-SIZE FRACTIONS; MICROBIAL COMMUNITY; CARBONATE PRECIPITATION; HELICOBACTER-PYLORI; BACTERIAL DIVERSITY; CONTAMINATED SOIL; UREASE ACTIVITY; PB; ABUNDANCE; CALCITE;
D O I
10.1016/j.scitotenv.2021.144946
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ureolytic microorganisms, a kind of microorganism which can secrete urease and decompose urea, have great potential in remediation of soil heavy metals based on microbial induced carbonate precipitation. However, the horizontal and vertical distribution of ureolytic microbial community in heavy metals contaminated soils is poorly understood. In this study, urease genes in agricultural soils surrounding tailings were first investigated using metagenomic in two dimensions: heavy metal pollution (Low-L, Middle-M, High-H) and soil depth (0-20 cm, 20-40 cm, 40-60 cm, 60-80 cm, 80-100 cm). Results showed that the effect of heavy metal concentration on ureolytic microorganisms was indeed significant, while the changes of ureolytic microorganisms with increasing soil depth varied in the vertical direction at the same level of heavy metal contamination. H site had the highest diversity of ureolytic microorganisms except for the topsoil. And at the same heavy metal contamination level, the ureolytic microbial diversity was lower in deeper soils. Proteobacteria, Actinobacteria and Thaumarchaeota (Archaea) were the dominant phyla of ureolytic microorganisms in all three sites, accounting for more than 80% of the total. However, the respond to the heavy metal concentrations of three phyla were different, which were increasing, decreasing and essentially unchanged, respectively. Besides, other environmental factors such as SOM and pH had different effects on ureolytic microorganisms, with Proteobacteria being positively correlated and Actinobacteria being the opposite. Another phenomenon was that Actinobacteria and Verrucomicrobia were biomarkers of group L, which could significantly explain the difference with the other two sites. These results provided valuable information for further research on the response mechanism and remediation of heavy metal pollution by ureolytic microbial system. (c) 2021 Published by Elsevier B.V.
引用
收藏
页数:12
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